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To achieve the ability to identify
textured image regions and estimate their parameters a joint
segmentation-estimation algorithm that combines the 2-D Wold
decomposition based texture model with a Markovian
labeling process is derived.
Ordering and indexing of images require a definition of a distance
measure between images. Using the framework of the Kullback distance
between probability distributions, a new distance measure between textures is derived.